Document Parser Bot – LangChain + Google Gemini

A Streamlit application that allows users to upload resumes or any document (PDF, DOCX, TXT) and extract structured information using Google Gemini and LangChain.

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App Concept

Users upload a resume and the app performs the following steps:

1. Extracts raw text from the uploaded file.
2. Previews the extracted text.
3. Sends the text to a Large Language Model (Google Gemini) for parsing.
4. Returns structured information in JSON format, including:
   • Name
   • Age
   • Experience
   • Education
   • Projects
   • Languages

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App Objective

The app is designed to:

• Automatically parse resumes for recruiters or HR professionals.
• Extract relevant details in a structured format.
• Reduce manual data entry and improve efficiency.

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Interface Flow

• Users upload a resume in PDF, DOCX, or TXT format.
• Extracted text is displayed in a preview area.
• Click "Ask LLM" to parse the resume.
• Structured JSON results are displayed.

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Project Structure

File / Directory	Description
app.py	Main Streamlit app
.env	Contains Google API Key
requirements.txt	Python dependencies
README.md	Documentation file

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